{"id":"https://openalex.org/W1914737132","doi":"https://doi.org/10.1109/icassp.1995.479636","title":"Variable dimension spectral coding of speech at 2400 bps and below with phonetic classification","display_name":"Variable dimension spectral coding of speech at 2400 bps and below with phonetic classification","publication_year":2002,"publication_date":"2002-11-19","ids":{"openalex":"https://openalex.org/W1914737132","doi":"https://doi.org/10.1109/icassp.1995.479636","mag":"1914737132"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1995.479636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1995.479636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1995 International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041228147","display_name":"Amitava Das","orcid":"https://orcid.org/0000-0002-8277-7248"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Das","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA, USA","Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016272725","display_name":"A. Gersho","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Gersho","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA, USA","Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., California Univ. Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"492","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7634257078170776},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.6887865662574768},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6730508804321289},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.6659449338912964},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.6569828391075134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405928134918213},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.6336066722869873},{"id":"https://openalex.org/keywords/codec2","display_name":"Codec2","score":0.6032541394233704},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5915727615356445},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5469948053359985},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4614632725715637},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46050378680229187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35240525007247925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31098103523254395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2620757222175598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1931988000869751},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07693809270858765}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7634257078170776},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.6887865662574768},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6730508804321289},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.6659449338912964},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.6569828391075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405928134918213},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.6336066722869873},{"id":"https://openalex.org/C75217168","wikidata":"https://www.wikidata.org/wiki/Q1105653","display_name":"Codec2","level":4,"score":0.6032541394233704},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5915727615356445},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5469948053359985},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4614632725715637},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46050378680229187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35240525007247925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31098103523254395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2620757222175598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1931988000869751},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07693809270858765},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1995.479636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1995.479636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1995 International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W100701745","https://openalex.org/W116769045","https://openalex.org/W1496971974","https://openalex.org/W1556859373","https://openalex.org/W1561706280","https://openalex.org/W1600900073","https://openalex.org/W1879981224","https://openalex.org/W2149200230","https://openalex.org/W2157469984"],"related_works":["https://openalex.org/W1570840316","https://openalex.org/W1551277881","https://openalex.org/W2155796184","https://openalex.org/W2350749055","https://openalex.org/W2007832818","https://openalex.org/W2114934544","https://openalex.org/W568589707","https://openalex.org/W1544698548","https://openalex.org/W2104682943","https://openalex.org/W2110059311"],"abstract_inverted_index":{"The":[0,60],"low":[1],"bit":[2],"rate":[3,78,84],"enhanced":[4],"multiband":[5,34],"excitation":[6,35],"or":[7],"EMBE":[8,90],"speech":[9,54,92],"coder":[10,103],"adds":[11],"several":[12],"important":[13,73],"new":[14],"features":[15],"including":[16],"phonetic":[17],"classification":[18,38],"and":[19,45,58,81,104],"a":[20],"naval":[21],"spectral":[22,43],"quantization":[23,29,46],"technique":[24],"called":[25],"variable":[26,83],"dimension":[27],"vector":[28],"(VDVQ)":[30],"to":[31,47,95],"the":[32,40,48,53,64,76,82,96,105],"basic":[33],"vocoder.":[36],"Phonetic":[37],"allows":[39],"adaptation":[41],"of":[42,52,89],"modeling":[44],"local":[49],"acoustic-phonetic":[50],"character":[51],"signal,":[55],"enhancing":[56],"quality":[57,93],"robustness.":[59],"VDVQ":[61],"scheme":[62],"quantizes":[63],"log-spectrum":[65],"with":[66],"relatively":[67],"few":[68],"bits":[69],"while":[70],"preserving":[71],"perceptually":[72],"features.":[74],"Both":[75],"fixed":[77],"(2.4":[79],"kb/s)":[80],"(1.44":[85],"kb/s":[86,98,107],"average)":[87],"implementations":[88],"deliver":[91],"comparable":[94],"4.8":[97],"Federal":[99],"Standard":[100],"1016":[101],"CELP":[102],"4.15":[106],"Inmarsat-M":[108],"standard":[109],"IMBE":[110],"coder.":[111]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}